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Datafication is a modern technological trend turning many aspects of our life into computerised data [1] and transforming this information into new forms of value.[2] Kenneth Neil Cukier and Victor Mayer-Schöenberger introduced the term datafication in 2013.[3]


Examples of datafication as applied to social and communication media are how Twitter datafies stray thoughts or datafication of HR by LinkedIn and others. Alternative examples are diverse and include aspects of the built environment, and design via engineering and or other tools that tie data to formal, functional or other physical media outcomes of which Formsolver[4] is an example.


Human Resources Data obtained from mobile phones, apps or social media usage is used to identify potential employees and their specific characteristics such as risk taking profile and personality. This data will replace personality tests. Rather using the traditional personality tests or the exams that measure the analytical thinking, using the data obtained through datafication will change existing exam providers. Also, with this data new personality measures will be developed.[5][6]

Insurance and Banking Data is used to understand an individual’s risk profile and likelihood to pay a loan.

Customer relationship Management Various industries are using datafication to understand their customers better and create appropriate triggers based on each customer’s personality and behaviour. This data is obtained from the language and tone a person uses in an email, phone call or social media.[7]

Datafying Cities Through the data obtained from the sensors that are implemented into the cities, issues that can arise will be noticed and tackled before it becomes a serious issue in transportation, waste management, logistics, and energy, etc... Citizens can change their usual routes when there is a traffic jam. With the sensors that can measure air and water quality, cities can have more detailed understanding of the pollution levels and can enact new regulations based on real-time data.[8]

Example: Datafication of the skin and form of a building to assist engineers, designers and architects determine the performance of particular building geometries. Example provided courtesy of
Example: Shape families resulting from differing goals when data is used for the purposes of shape optimization. Example provided courtesy of

See also[edit]


  1. ^ Cukier, Kenneth; Mayer-Schoenberger, Viktor (2013). "The Rise of Big Data". Foreign Affairs (May/June): 28–40. Retrieved 24 January 2014.
  2. ^ O'Neil, Cathy; Schutt, Rachel (2013). Doing Data Science. O’Reilly Media. p. 406. ISBN 978-1-4493-5865-5.
  3. ^ Biltgen, Patrick; Ryan, Stephen (1 January 2016). Activity-Based Intelligence: Principles and Applications (1 ed.). Norwood, MA: Artech House. p. 151. ISBN 978-1-60807-876-9. Retrieved 6 May 2017.
  4. ^
  5. ^ Moore, Melissa. "Turning Personality Into Data". Mattersight, The Chemistry of Conversation. Mattersight Corporation. Retrieved 5 May 2017.
  6. ^
  7. ^ Moore, Melissa. "Turning Personality Into Data". Mattersight, The chemistry of Conversation. Mattersight Corporation. Retrieved 5 May 2017.
  8. ^